Results 11 to 20 of about 3,609,102 (305)
Improving sample efficiency and multi-agent communication in RL-based train rescheduling [PDF]
, 2020 We present preliminary results from our sixth placed entry to the Flatland international competition for train rescheduling, including two improvements for optimized reinforcement learning (RL) training efficiency, and two hypotheses with respect to the ...
Egli, Adrian +6 more
core +2 more sources
Applications of machine learning to machine fault diagnosis: A review and roadmap
, 2020 Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to machine fault diagnosis. This is a promising way to release the contribution from human labor and automatically recognize the health states of machines, thus it has ...
Y. Lei +5 more
semanticscholar +1 more source
Neural Machine Translation of Rare Words with Subword Units [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem. Previous work addresses the translation of out-of-vocabulary words by backing off to a dictionary.
Rico Sennrich +2 more
semanticscholar +1 more source
Effective Approaches to Attention-based Neural Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation.
Thang Luong +2 more
semanticscholar +1 more source
Machine-to-Machine Communications [PDF]
, 2014 With the number of machine-to-machine (M2M)-enabled devices projected to reach 20 to 50 billion by 2020, there is a critical need to understand the demands imposed by such systems. Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications offers rigorous treatment of the many facets of M2M communication, including ...
Rashid A. Saeed +2 more
openaire +2 more sources
A ML-AI ENABLED ENSEMBLE MODEL FOR PREDICTING AGRICULTURAL YIELD
Cogent Food & Agriculture, 2022 Simplistic linear methods for predicting crop yield leave out important factors like climate, rainfall, soil, irrigation, and land characteristics.
Seeboli Ghosh Kundu +3 more
doaj +1 more source
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2014 In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixedlength vector representation, and the other decodes the ...
Kyunghyun Cho +6 more
semanticscholar +1 more source
Reliable machine-to-machine multicast services with multi-radio cooperative retransmissions [PDF]
, 2015 The final publication is available at Springer via http://dx.doi.org/10.1007/s11036-015-0575-6The 3GPP is working towards the definition of service requirements and technical solutions to provide support for energy-efficient Machine Type Communications ...
Alonso Zárate, Luis Gonzaga +3 more
core +2 more sources
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2016 We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the ...
Pranav Rajpurkar +3 more
semanticscholar +1 more source
INTERACTIVE NARRATION IN THE DIGITAL AGE [PDF]
, 2008 Interactive narration based on new media has become important research topic for post-narratology. It features non-linearity and can be classified as person-to-person, person-to-machine, and machine-to-machine.
Huang, Minfen
core +2 more sources